I agree, this is clearly an indictment against LLMs. If LLMs and agents were capable they'd 100% write it natively but they realize the current limitations.

I have tested this and they are very capable, replacing the modern windows calc (38mb mem) with an identical app (ux, looks, features, accessibility, localization) ended up with an app using 2MB memory.

You just need to point it in the right direction (c/rust/go etc) and be harsh with the requirements, especially memory usage.

If I was Microsoft I would use AI for this rather than badly embedding AI everywhere, a lot of power users would be overwhelmed by a win 11 update where OS apps/features dropped mem usage by 90%+

It would be excellent to reduce Windows memory requirements using the very tools which are making memory so expensive...

Oh wait no that would be incredibly painful for everyone. Yes reducing memory requirements would be great but not at that cost.

No it's because LLMs aren't that good yet.

I second this, OP I do truly emphasize with your situation (I graduated right before the 2008 crash and had to join the Army). You should look into creating a startup or make significant contributions on a major open source project. Don't think that just because you're fresh out of school VC's won't be willing to fund you. If you're dead set on being a cog on a wheel feel free to send me your resume and I can give you some feedback.

I've been trying to articulate this exact point. The problem w/ LLM's is that at times they are very capable but always unreliable.

I'm starting to realize that this is most likely what will happen. They'll be available in select major cities, for certain areas, under certain weather conditions.

How exactly will driverless cars work, the edge cases are infinite. They would have to be limited to certain routes, conditions, and cities.

With the acceptance that they can't handle every edge case.

Which might be reasonable, anyway - how many humans can handle every edge case?

The drivers who can't handle the edge cases face the justice system. If You or I did that we'd face repercussions.

This tutorial was extremely helpful, I was having a hard time grokking the power of zippers.

I don't think people fully realize how good the open source models are and how easy it is to switch.

My input to our recent AI strategy workshop was basically:

- OpenAI,etc will go bankrupt (unless one manages to capture search from a struggling Google)

- We will have a new AI winter with corresponding research slowdown like in the 1980s when funding dries up

- Opensource LLM instances will be deployed to properly manage privacy concerns.

99% of the world doesn’t care a dime about oss. It’s all saas and what you host behind the saas is only a concern for enterprise (and not every enterprise). And openai or Anthropic can just stop training and host oss models as well.

Everyone cares about OSS as in "free", the capital spending of AI firms and market capitalization hinges on the concept that they will save enterprises tons of money by off-sourcing employees.

You think we have these crazy valuations because the market thinks that OpenAI will make joe-schmoe buy enough of their services? (Them introducing "shopping" into the service honestly feels like a bit of a panicky move to target Google).

We're prototyping some LLM assisted products, but right now the cost-model isn't entirely there since we need to use more expensive models to get good results that leaves a small margin, spinning up a moderately sized VM would probably be more cost effective option and more people will probably run into this and start creating easy to setup models/service-VM's (maybe not just yet, but it'll come).

Sure they could start hosting things themselves, but what's stopping anyone from finding a cheaper but "good enough" alternative?

Barring a complete economic collapse, one of the big tech cos will 100% buy ChatGPT if OpenAI goes bankrupt

I've noticed this with TikTok and I'm almost certain YouTube 1P metrics are wildly inaccurate in particular views and non-bot comments.

A lot of big tech companies are being very opportunistic and reducing hiring/laying-off under the guise of A.I. but really it's weak economy.